Fault location prediction on double-circuit transmission lines based on the hierarchical temporal memory

Idoniboyeobu, D. C.; Wokoma, Biobele A.; Osegi, Emmanuel N.

doi:10.1109/nigercon.2017.8281973

Cited by 2 publications

(1 citation statement)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Authors discuss the directional relaying schemes [19,20] for the DC3PT lines, classification scheme [21,22] for shunt faults in the DC3PT lines, the fault location schemes [23,24] under shunt faults for the DC3PT lines which have been demonstrated. Previous work [25] has shown the artificial neural network (ANN) technique for DC3PT line that provides direction relaying, classification, and location of faults.…”

Section: Introductionmentioning

confidence: 99%

A single-end directional relaying scheme for double-circuit transmission line using fuzzy expert system

Kumar

Sanjay

Chakravarthy³

2020

Complex Intell. Syst.

View full text Add to dashboard Cite

The faults occurring in different sections are difficult to identify using the traditional techniques. This paper investigates a fuzzy expert system for directional relaying, classification, and location of faults in double-circuit transmission lines. The current magnitudes measured at only one terminal of the double-circuit transmission line are used to compute discreet Fourier coefficients. Thus, this scheme does not involve any communication channel. The presented fuzzy expert system is achieved from the structure of MAMDANI system in LabVIEW software. Test case studies show the effectiveness of the presented scheme. The simulation results attest that the directional relaying, classification, and location estimation is very accurate. This scheme is adaptive to the change of fault location, fault resistance, fault inception angle, and fault type.

show abstract